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MLDM
2009
Springer
15 years 10 months ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...
ICML
2010
IEEE
15 years 5 months ago
Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences
This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
Antoine Bordes, Nicolas Usunier, Jason Weston
TACAS
2007
Springer
105views Algorithms» more  TACAS 2007»
15 years 10 months ago
Hoare Logic for Realistically Modelled Machine Code
This paper presents a mechanised Hoare-style programming logic framework for assembly level programs. The framework has been designed to fit on top of operational semantics of rea...
Magnus O. Myreen, Michael J. C. Gordon
ISI
2005
Springer
15 years 9 months ago
Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content
Experiments were conducted to test several hypotheses on methods for improving document classification for the malicious insider threat problem within the Intelligence Community. ...
Ozgur Yilmazel, Svetlana Symonenko, Niranjan Balas...
MICAI
2010
Springer
15 years 2 months ago
Supervised Machine Learning for Predicting the Meaning of Verb-Noun Combinations in Spanish
The meaning of such verb-noun combinations as take care, undertake work, pay attention can be generalized as DO what is designated by the noun. Likewise, the meaning of make a deci...
Olga Kolesnikova, Alexander F. Gelbukh